Open chromatin assays are known to have significant GC bias. Please take this
into consideration as necessary.
Library complexity quality metrics
Library complexity (filtered non-mito BAM)
rep1
rep2
ctl1
Total Fragments
7241612
6713069
14062932
Distinct Fragments
6140665
6228219
13393951
Positions with Two Read
766846
349329
573286
NRF = Distinct/Total
0.847969
0.927775
0.952429
PBC1 = OneRead/Distinct
0.856863
0.939377
0.955028
PBC2 = OneRead/TwoRead
6.861494
16.748237
22.312769
Mitochondrial reads are filtered out by default.
The non-redundant fraction (NRF) is the fraction of non-redundant mapped reads
in a dataset; it is the ratio between the number of positions in the genome
that uniquely mapped reads map to and the total number of uniquely mappable
reads. The NRF should be > 0.8. The PBC1 is the ratio of genomic locations
with EXACTLY one read pair over the genomic locations with AT LEAST one read
pair. PBC1 is the primary measure, and the PBC1 should be close to 1.
Provisionally 0-0.5 is severe bottlenecking, 0.5-0.8 is moderate bottlenecking,
0.8-0.9 is mild bottlenecking, and 0.9-1.0 is no bottlenecking. The PBC2 is
the ratio of genomic locations with EXACTLY one read pair over the genomic
locations with EXACTLY two read pairs. The PBC2 should be significantly
greater than 1. See more details at
the ENCODE portal standard for ChIP-Seq pipeline
NRF (non redundant fraction)
PBC1 (PCR Bottleneck coefficient 1)
PBC2 (PCR Bottleneck coefficient 2)
PBC1 is the primary measure. Provisionally
0-0.5 is severe bottlenecking
0.5-0.8 is moderate bottlenecking
0.8-0.9 is mild bottlenecking
0.9-1.0 is no bottlenecking
Replication quality metrics
IDR (Irreproducible Discovery Rate) plots
Reproducibility QC and peak detection statistics
overlap
idr
Nt
19350
2086
N1
18920
1732
N2
8943
836
Np
21113
2367
N optimal
21113
2367
N conservative
19350
2086
Optimal Set
pooled-pr1_vs_pooled-pr2
pooled-pr1_vs_pooled-pr2
Conservative Set
rep1_vs_rep2
rep1_vs_rep2
Rescue Ratio
1.0911111111111111
1.1347075743048898
Self Consistency Ratio
2.1156211562115623
2.0717703349282295
Reproducibility Test
borderline
borderline
Reproducibility QC
N1: Replicate 1 self-consistent peaks (comparing two pseudoreplicates generated by subsampling Rep1 reads)
N2: Replicate 2 self-consistent peaks (comparing two pseudoreplicates generated by subsampling Rep2 reads)
Ni: Replicate i self-consistent peaks (comparing two pseudoreplicates generated by subsampling RepX reads)
Nt: True Replicate consistent peaks (comparing true replicates Rep1 vs Rep2)
Np: Pooled-pseudoreplicate consistent peaks (comparing two pseudoreplicates generated by subsampling pooled reads from Rep1 and Rep2)
Self-consistency Ratio: max(N1,N2) / min (N1,N2)
Rescue Ratio: max(Np,Nt) / min (Np,Nt)
Reproducibility Test: If Self-consistency Ratio >2 AND Rescue Ratio > 2, then 'Fail' else 'Pass'
Number of raw peaks
rep1
rep2
Number of peaks
49360
20771
Top 300000 raw peaks from spp with FDR 0.01
Peak calling statistics
Peak region size
rep1
rep2
idr_opt
overlap_opt
Min size
144.0
156.0
148.0
148.0
25 percentile
576.0
624.0
377.0
590.0
50 percentile (median)
576.0
624.0
590.0
590.0
75 percentile
576.0
624.0
590.0
590.0
Max size
1173.0
1457.0
3309.0
3309.0
Mean
573.3370137763371
618.6168696740648
518.3071398394592
580.8053332070289
Enrichment / Signal-to-noise ratio
Strand cross-correlation measures (trimmed/filtered SE BAM)
rep1
rep2
Number of Subsampled Reads
7241612
6713069
Estimated Fragment Length
205
220
Cross-correlation at Estimated Fragment Length
0.695809241193172
0.711718966900979
Phantom Peak
50
50
Cross-correlation at Phantom Peak
0.690354
0.7095139
Argmin of Cross-correlation
1500
1500
Minimum of Cross-correlation
0.6816492
0.7016672
NSC (Normalized Strand Cross-correlation coeff.)
1.020773
1.014326
RSC (Relative Strand Cross-correlation coeff.)
1.626693
1.281012
Performed on subsampled (15000000) reads mapped from FASTQs that are trimmed to 50.
Such FASTQ trimming and subsampling reads are for cross-corrleation analysis only.
Untrimmed FASTQs are used for all the other analyses.
NOTE1: For SE datasets, reads from replicates are randomly subsampled to 15000000.
NOTE2: For PE datasets, the first end (R1) of each read-pair is selected and trimmed to 50 the reads are then randomly subsampled to 15000000.
Normalized strand cross-correlation coefficient (NSC) = col9 in outFile
Relative strand cross-correlation coefficient (RSC) = col10 in outFile
Estimated fragment length = col3 in outFile, take the top value
Jensen-Shannon distance (filtered/deduped BAM)
rep1
rep2
AUC
0.3486742223748292
0.3656997490871842
Synthetic AUC
0.4963397659782776
0.49636948545404136
X-intercept
0.030673010145841482
0.03036368571040847
Synthetic X-intercept
0.0
0.0
Elbow Point
0.5704661020331596
0.5694962202549632
Synthetic Elbow Point
0.49850314091833475
0.5044866034567128
JS Distance
0.11104542288606854
0.09161341271014727
Synthetic JS Distance
0.21453391465121777
0.19285124954805474
% Genome Enriched
30.40619287476152
27.755382245176534
Diff. Enrichment
14.296251184930536
11.903922279265156
CHANCE Divergence
0.12290501800688615
0.10402629342445342
Peak enrichment
Fraction of reads in peaks (FRiP)
FRiP for spp raw peaks
rep1
rep2
rep1-pr1
rep2-pr1
rep1-pr2
rep2-pr2
pooled
pooled-pr1
pooled-pr2
Fraction of Reads in Peaks
0.3721627560358238
0.20504461623118717
0.3014285020908126
0.19429973685028604
0.3024885841625248
0.19765104187865373
0.3793929066657749
0.2781000288200453
0.268098353266932
FRiP for overlap peaks
rep1_vs_rep2
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.17324814618355286
0.183007946457467
0.1077705601137335
0.18586677141396984
FRiP for IDR peaks
rep1_vs_rep2
rep1-pr1_vs_rep1-pr2
rep2-pr1_vs_rep2-pr2
pooled-pr1_vs_pooled-pr2
Fraction of Reads in Peaks
0.03858114252910942
0.03661243669700086
0.01998460393099715
0.042848738933097666
For spp raw peaks:
repX: Peak from true replicate X
repX-prY: Peak from Yth pseudoreplicates from replicate X
pooled: Peak from pooled true replicates (pool of rep1, rep2, ...)
pooled-pr1: Peak from 1st pooled pseudo replicate (pool of rep1-pr1, rep2-pr1, ...)
pooled-pr2: Peak from 2nd pooled pseudo replicate (pool of rep1-pr2, rep2-pr2, ...)
For overlap/IDR peaks:
repX_vs_repY: Comparing two peaks from true replicates X and Y
repX-pr1_vs_repX-pr2: Comparing two peaks from both pseudoreplicates from replicate X
pooled-pr1_vs_pooled-pr2: Comparing two peaks from 1st and 2nd pooled pseudo replicates